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spTDyn: Spatially Varying and Spatio-Temporal Dynamic Linear Models

Fits, spatially predicts, and temporally forecasts space-time data using Gaussian Process (GP): (1) spatially varying coefficient process models and (2) spatio-temporal dynamic linear models. Bakar et al., (2016). Bakar et al., (2015).

Version: 2.0.3
Depends: R (≥ 4.4.0), spTimer
Imports: coda, sp, spacetime, grDevices, graphics, stats, utils
Published: 2024-09-09
DOI: 10.32614/CRAN.package.spTDyn
Author: K. Shuvo Bakar ORCID iD [aut, cre], Philip Kokic [ctb], Huidong Jin ORCID iD [ctb]
Maintainer: K. Shuvo Bakar <shuvo.bakar at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: spTDyn citation info
Materials: ChangeLog
CRAN checks: spTDyn results

Documentation:

Reference manual: spTDyn.pdf

Downloads:

Package source: spTDyn_2.0.3.tar.gz
Windows binaries: r-devel: spTDyn_2.0.3.zip, r-release: spTDyn_2.0.3.zip, r-oldrel: spTDyn_2.0.2.zip
macOS binaries: r-release (arm64): spTDyn_2.0.3.tgz, r-oldrel (arm64): spTDyn_2.0.2.tgz, r-release (x86_64): spTDyn_2.0.3.tgz, r-oldrel (x86_64): spTDyn_2.0.2.tgz
Old sources: spTDyn archive

Reverse dependencies:

Reverse imports: bmstdr

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.